This paper presents a decentralized model predictive control strategy for nonlinear network systems having multiple coupling delay elements. Linear interconnections, whose topologies are defined by an unweighted Lapla...
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This paper represents an attempt to automatically classify alertness state using information extracted from multi-channel EEG. To reduce the amount of data and improve the performance, a channel selection method based...
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A decentralised model predictive control strategy for interconnected process systems having parallel-splitting structure based on the asymptotically positive realness constraint (APRC) is presented in this paper. Para...
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A decentralised model predictive control strategy for interconnected process systems having parallel-splitting structure based on the asymptotically positive realness constraint (APRC) is presented in this paper. Parallel masking and transform descriptor approaches have been employed in previous work for this type of interconnection processes. A robust control perspective has been brought to light in this work to resolve the issue of multiple subprocess parallelised-ly decoupled in a mixed connection configuration of dynamically coupled units. An annihilation is employed to cancel out the interactive vectors between interconnected processing units. Simulation for a parallel redundant process system in mining industry is provided to demonstrate the effectiveness of the presented robust control approach to parallelised interconnected systems.
Diabetic Retinopathy (DR) is a condition caused by diabetes that affects the blood vessels in the retina. Detecting the disease early and providing appropriate treatment are crucial in slowing its progression. Therefo...
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In this paper, we introduce and discuss Foreground Trust. Foreground Trust, itself based on recent work in the area of Trust Enablement, is a paradigm for allowing devices in a human-device ecosystem the means to reas...
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The concept of Digital Twin has been widely used by researchers to represent physical entities in computer-generated reality in the metaverse. In this research, a novel concept of 'Mobile Twin' is coined. Mobi...
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Efficient and accurate identification of network anomalies is of great significance to the construction of network security systems in the information age. It is highly challenging to accurately detect abnormal behavi...
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To avoid the drawbacks, namely low security level, of Ni's algorithm, this paper proposed a secure and reversible data hiding method based on odd-even interleaving embedding. This algorithm first constructed the g...
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To avoid the drawbacks, namely low security level, of Ni's algorithm, this paper proposed a secure and reversible data hiding method based on odd-even interleaving embedding. This algorithm first constructed the gray level histogram of the cover image, and then used the pixels in peak point set to embed information. In the embedding process, this method embedded information in odd-even interleaving embedding mode, making the distribution of the information embedded more irregular and thus enhancing the undetectability. Experimental results show compared with Ni's algorithm, this method significantly improved the undetectability and the error rate of SPAM detection is improved between 0.1% and 0.8%.
This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for im...
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